{"id":"W4392412803","doi":"10.1109/swc57546.2023.10448734","title":"Progressive Digital Twinning of 6G and beyond: Vision, Challenges, and Research Directions","year":2023,"lang":"en","type":"article","venue":"","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Crystal twinning; Computer science; Computer vision; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002729842,0.0006972874,0.0005256557,0.001324597,0.001364207,0.004741519,0.001314266,0.002918328,0.005160833],"category_scores_gemma":[0.003861411,0.0003178016,0.0003688032,0.0015245,0.005050726,0.0147885,0.004158506,0.004495481,0.001034584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073384,"about_ca_system_score_gemma":0.002684943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00170324,"about_ca_topic_score_gemma":0.001508762,"domain_scores_codex":[0.9988691,0.0003389466,0.00004088099,0.0001656217,0.0004076129,0.0001777939],"domain_scores_gemma":[0.9978343,0.0008775544,0.0001383306,0.0002881076,0.0005251093,0.0003366762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004342867,0.00004106077,0.0004784405,0.0002480325,0.000007441085,0.0001174488,0.0006141127,0.001654969,0.001172799,0.8687097,0.006704061,0.1202085],"study_design_scores_gemma":[0.000009660309,0.0001415996,0.0005179927,0.0006070693,0.00001610705,0.0004748761,0.00192804,0.01074596,0.002323898,0.6540862,0.3290963,0.00005233177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.04661386,0.1975584,0.3714303,0.09667177,0.006482516,0.0002106392,0.0002382886,0.001042542,0.2797518],"genre_scores_gemma":[0.6794407,0.1315018,0.1428289,0.008439075,0.002688833,0.000199837,0.0003211718,0.0002844651,0.03429521],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005160833,"threshold_uncertainty_score":0.01726472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05408535175693879,"score_gpt":0.3201367400856415,"score_spread":0.2660513883287027,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}